Improved distance and energy aware link stability protocol for internet of medical things

The Internet of Medical Things (IoMT) has revolutionized healthcare by enabling seamless connectivity among medical devices for real-time monitoring and diagnosis. However, the dynamic nature and resource constraints of IoMT networks present significant challenges in ensuring energy efficiency, reliable communication, and optimal performance. For addressing the mentioned issues and challenges, we propose a comprehensive routing framework, Improved Distance and Energy Aware Link Stability (IDEALS) protocol, designed to optimise distance, Energy Consumption (EC), and Link Stability (LS). Our protocol incorporates a distance-aware routing mechanism to minimize Path Loss (PL), an Energy-Efficient (EE) communication approach to extend Network Lifetime (NLT), and LS prediction algorithm for enhancing reliability in dynamic environments. Additionally, it considers the integration of Random Waypoint Mobility (RWM) and Gauss-Markov Mobility (GMM) models for static and dynamic mobility of the nodes within the network. The IDEALS protocol uses a smart decision-making method. This helps it manage key factors well regarding the node movement and static factors. It's great for IoMT applications because it scales and adapts easily. The protocol is evaluated with state-of-the-art (SOTA) protocols regarding different evaluation metrics. Simulations show that IDEALS performs better than other protocols. It measures how quickly nodes fail and how well data is delivered. It also performs well in big networks, busy areas, and when devices are moving around. IDEALS is a solid choice for solving challenges in IoMT networks. It helps make healthcare delivery more efficient and reliable across different situations.

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Publication Details

Journal
Scientific Reports
Published
2025-10-20
DOI
https://doi.org/10.1038/s41598-025-21855-0
Citations
3
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
2.02
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article

Improved distance and energy aware link stability protocol for internet of medical things

Razaz Waheeb Attar, Tariq Hussain, Shuaiyong Li, Zengkang Gan et al.
3 citations
Scientific Reports
Wireless Body Area Networks
2.02
article

Improved distance and energy aware link stability protocol for internet of medical things

Razaz Waheeb Attar, Tariq Hussain, Shuaiyong Li, Zengkang Gan, Altaf Hussain, Amal Hassan Alhazmi, Khalid Zaman
article en
3 citations

Abstract

The Internet of Medical Things (IoMT) has revolutionized healthcare by enabling seamless connectivity among medical devices for real-time monitoring and diagnosis. However, the dynamic nature and resource constraints of IoMT networks present significant challenges in ensuring energy efficiency, reliable communication, and optimal performance. For addressing the mentioned issues and challenges, we propose a comprehensive routing framework, Improved Distance and Energy Aware Link Stability (IDEALS) protocol, designed to optimise distance, Energy Consumption (EC), and Link Stability (LS). Our protocol incorporates a distance-aware routing mechanism to minimize Path Loss (PL), an Energy-Efficient (EE) communication approach to extend Network Lifetime (NLT), and LS prediction algorithm for enhancing reliability in dynamic environments. Additionally, it considers the integration of Random Waypoint Mobility (RWM) and Gauss-Markov Mobility (GMM) models for static and dynamic mobility of the nodes within the network. The IDEALS protocol uses a smart decision-making method. This helps it manage key factors well regarding the node movement and static factors. It's great for IoMT applications because it scales and adapts easily. The protocol is evaluated with state-of-the-art (SOTA) protocols regarding different evaluation metrics. Simulations show that IDEALS performs better than other protocols. It measures how quickly nodes fail and how well data is delivered. It also performs well in big networks, busy areas, and when devices are moving around. IDEALS is a solid choice for solving challenges in IoMT networks. It helps make healthcare delivery more efficient and reliable across different situations.

Scientific ReportsVol. 15(1)
Chongqing University of Posts and Telecommunications (CN), Princess Nourah bint Abdulrahman University (SA), Shenzhen Polytechnic University (CN), Chinese Academy of Sciences (CN), Shenzhen Institutes of Advanced Technology (CN), Shenzhen Technology University (CN), Zhejiang Gongshang University (CN)
Openalex Percentile: Top 12%
Wireless Body Area Networks
2.02
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